Table 2.
Perceptions related to COVID-19 vaccination.
| Acceptability and perceptions | Value (N=1052), n (%) or mean (SD) |
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| Parents’ acceptability of COVID-19 vaccination for their child under the age of 18 years: likelihood of having the child take up free COVID-19 vaccination, n (%) |
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Very unlikely | 19 (1.8) | ||
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Unlikely | 45 (4.3) | ||
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Neutral | 224 (21.3) | ||
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Likely | 361 (34.3) | ||
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Very likely | 403 (38.3) | ||
| Perceptions related to COVID-19 vaccination based on the theory of planned behavior |
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Positive attitudes toward COVID-19 vaccination |
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Positive Attitude Scalea score, mean (SD) | 8.0 (1.2) | |
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COVID-19 vaccination is highly effective in protecting your child from COVID-19 (agree), n (%) | 603 (57.3) | |
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Taking up COVID-19 vaccination can contribute to the control of COVID-19 in China (agree), n (%) | 896 (85.2) | |
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China will have an adequate supply of COVID-19 vaccine (agree), n (%) | 763 (72.5) | |
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Negative attitudes toward COVID-19 vaccination |
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Negative Attitude Scaleb score, mean (SD) | 7.7 (1.6) | |
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Your child will have severe side effects after receiving COVID-19 vaccination (agree), n (%) | 104 (9.9) | |
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The protection of COVID-19 vaccines will only last for a short time (agree), n (%) | 210 (20.0) | |
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Your child is afraid of vaccination (agree), n (%) | 216 (20.5) | |
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You do not have time to take your child for COVID-19 vaccination (agree), n (%) | 234 (22.2) | |
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Perceived subjective norm related to child’s COVID-19 vaccination: your family member would support you in having your child take up COVID-19 vaccination |
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Response score, mean (SD)c | 2.5 (0.6) | |
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Agree, n (%) | 542 (51.5) | |
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Perceived behavioral control to have the child take up COVID-19 vaccination: having the child receive COVID-19 vaccination is easy for you if you want them to |
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Response score, mean (SD)c | 2.3 (0.7) | |
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Agree, n (%) | 456 (43.3) | |
| Influence of social media related to COVID-19 vaccination |
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Frequency of exposure to positive information related to COVID-19 vaccination (eg, new vaccines entering clinical trials, promising efficacies of the vaccines, and vaccines will enter the market soon) on social media |
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Response score, mean (SD)d | 2.9 (0.9) | |
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Almost none, n (%) | 107 (10.2) | |
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Seldom, n (%) | 216 (20.5) | |
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Sometimes, n (%) | 420 (39.9) | |
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Always, n (%) | 309 (29.4) | |
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Frequency of exposure to negative information related to COVID-19 vaccination (eg, concerns about efficacies and supplies, side effects of the vaccines, and receiving vaccines will cause COVID-19) on social media |
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Response score, mean (SD)d | 2.3 (0.9) | |
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Almost none, n (%) | 244 (23.2) | |
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Seldom, n (%) | 366 (34.8) | |
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Sometimes, n (%) | 327 (31.1) | |
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Always, n (%) | 115 (10.9) | |
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Frequency of exposure to testimonials given by participants of the COVID-19 vaccine clinical trials on social media |
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Response score, mean (SD)d | 1.9 (1.0) | |
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Almost none, n (%) | 503 (47.8) | |
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Seldom, n (%) | 266 (25.3) | |
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Sometimes, n (%) | 185 (17.6) | |
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Always, n (%) | 98 (9.3) | |
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Frequency of exposure to negative information about other vaccine incidents in China (eg, selling problematic vaccines and severe side effects) on social media |
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Response score, mean (SD)d | 2.0 (1.0) | |
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Almost none, n (%) | 433 (41.2) | |
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Seldom, n (%) | 321 (30.5) | |
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Sometimes, n (%) | 207 (19.7) | |
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Always, n (%) | 91 (8.7) | |
aResponse categories for the 3-item Positive Attitude Scale were as follows: 1 (disagree), 2 (neutral), and 3 (agree). Cronbach α=.71; one factor was identified by exploratory factor analysis, explaining 64.0% of the total variance.
bResponse categories for the 4-item Negative Attitude Scale were as follows: 1 (disagree), 2 (neutral), and 3 (agree). Cronbach α=.64; one factor was identified by exploratory factor analysis, explaining 56.6% of the total variance.
cResponse categories were as follows: 1 (disagree), 2 (neutral), and 3 (agree).
dResponse categories were as follows: 1 (almost none), 2 (seldom), 3 (sometimes), and 4 (always).